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@ARTICLE{Werner:863609,
author = {Werner, Jan-Michael and Stoffels, Gabriele and
Lichtenstein, Thorsten and Borggrefe, Jan and Lohmann,
Philipp and Ceccon, Garry and Shah, Nadim J. and Fink,
Gereon R. and Langen, Karl-Josef and Kabbasch, Christoph and
Galldiks, Norbert},
title = {{D}ifferentiation of treatment-related changes from tumour
progression: a direct comparison between dynamic {FET} {PET}
and {ADC} values obtained from {DWI} {MRI}},
journal = {European journal of nuclear medicine and molecular imaging},
volume = {46},
number = {9},
issn = {1619-7089},
address = {Heidelberg [u.a.]},
publisher = {Springer-Verl.},
reportid = {FZJ-2019-03621},
pages = {1889-1901},
year = {2019},
abstract = {BackgroundFollowing brain cancer treatment, the capacity of
anatomical MRI to differentiate neoplastic tissue from
treatment-related changes (e.g., pseudoprogression) is
limited. This study compared apparent diffusion coefficients
(ADC) obtained by diffusion-weighted MRI (DWI) with static
and dynamic parameters of O-(2-[18F]fluoroethyl)-L-tyrosine
(FET) PET for the differentiation of treatment-related
changes from tumour progression.Patients and
methodsForty-eight pretreated high-grade glioma patients
with anatomical MRI findings suspicious for progression
(median time elapsed since last treatment was 16 weeks) were
investigated using DWI and dynamic FET PET. Maximum and mean
tumour-to-brain ratios (TBRmax, TBRmean) as well as dynamic
parameters (time-to-peak and slope values) of FET uptake
were calculated. For mean ADC calculation,
regions-of-interest analyses were performed on ADC maps
calculated from DWI coregistered with the contrast-enhanced
MR image. Diagnoses were confirmed neuropathologically
$(21\%)$ or clinicoradiologically. Diagnostic performance
was evaluated using receiver-operating-characteristic
analyses or Fisher’s exact test for a combinational
approach.ResultsTen of 48 patients had treatment-related
changes $(21\%).$ The diagnostic performance of FET PET was
significantly higher (threshold for both TBRmax and TBRmean,
1.95; accuracy, $83\%;$ AUC, 0.89 ± 0.05;
P < 0.001) than that of ADC values (threshold ADC,
1.09 × 10−3 mm2/s; accuracy, $69\%;$ AUC,
0.73 ± 0.09; P = 0.13). The addition of static FET
PET parameters to ADC values increased the latter’s
accuracy to $89\%.$ The highest accuracy was achieved by
combining static and dynamic FET PET parameters $(93\%).$
Moreover, in contrast to ADC values, TBRs <1.95 at suspected
progression predicted a significantly longer survival
(P = 0.01).ConclusionsData suggest that static and
dynamic FET PET provide valuable information concerning the
differentiation of early treatment-related changes from
tumour progression and outperform ADC measurement for this
highly relevant clinical question.},
cin = {INM-3 / INM-4},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31203420},
UT = {WOS:000475673300015},
doi = {10.1007/s00259-019-04384-7},
url = {https://juser.fz-juelich.de/record/863609},
}